Job Description
At Qu you’ll find a fun, dynamic, and diverse culture that celebrates team and individual success. Our people are down to earth, trail blazin’ folks who value innovation.
While mostly virtual, we collaborate closely to produce leading-edge software solutions much needed in the restaurant industry.
The associate data services analyst will be responsible for serving Qu clients in the services branch of the business by improving running analysis and delivering business insights for clients.
A successful data scientist will help Qu Data Services deliver excellent results in our analysis, strategy projects by being hands on in running contextual analysis, building reports and assisting in strategic projects.
At Qu you will:
Analysis & Insights
● Analyze client POS, customer, and operations data and call out findings that can help businesses improve their performance
● Create visualizations and reports that help storytell findings to clients
● Build dashboards and reports based on client needs
● Perform data cleansing on larger data sets
● Monitor and manage data quality and troubleshoot issues
Collaboration & Strategy
● Assist senior team members in creating technology roadmaps & data strategies by assisting with stakeholder interviews, creating map drafts, and building requirements
● Take notes and help with time keeping during workshops, facilitate smaller break out groups in workshops
● Be part of client delivery teams, collaboration with other team members to deliver to client expectations and manage project timelines
Key Measures for Success:
● Deliver billable work for clients that increases the capacity (revenue) of the company
● Produce measurable changes and impact for our clients
● Receives positive feedback from clients on deliverables
● Increase client repeat rate and retention of services clients and crossover product clients
● Brings in new knowledge and contributes to the growth of both the products and the services branch of the company
What we're looking for:
● Minimum 1 year of experience in data analytics
● Experience with SQL, R or Python
● Strong understanding of statistics and different statistical models related to business
● Proficiency in data visualization tools (Looker, Tableau, Power BI)
● A problem-solver who thrives in fast paced environments
